Advanced Analytics Manager — Fashion, North Asia

Overview

Chanel is a privately held global luxury house renowned for haute couture, ready-to-wear, leather goods, watches, jewellery and beauty. As an employer, the brand emphasises artisanal excellence, creativity and discretion while operating with an international, client-centric approach across retail and digital channels.

Role & Responsibilities

• Define and execute the advanced analytics strategy for Chanel’s fashion business across North Asia, aligning analytics deliverables with regional commercial priorities.
• Develop and deploy predictive models and forecasting frameworks for demand planning, inventory optimisation, pricing elasticity and assortment performance.
• Turn complex data into actionable commercial insights for Merchandising, Retail, CRM and Marketing teams, producing dashboards, regular reports and ad hoc analyses.
• Lead a small analytics/data science team: recruit, mentor, set objectives, and ensure high-quality delivery and professional development.
• Partner with IT and Data Engineering to shape analytics infrastructure, data pipelines and governance (cloud data platforms, BI tools, model deployment).
• Design and oversee experimentation and A/B testing to validate commercial initiatives and digital experiences.
• Communicate findings and influence senior stakeholders through clear storytelling, business cases and ROI analysis.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics or related quantitative discipline; Master’s preferred.
• Proven track record of leading analytics projects in retail, luxury goods or fashion across the Asia region.
• Demonstrable experience managing a team of analysts/data scientists and partnering with cross-functional commercial stakeholders.
• Strong commercial acumen with a clear understanding of retail KPIs (sell-through, inventory turnover, margin, conversion).
• Ability to translate data science outputs into pragmatic recommendations and measurable business impact.

Skills

Experience

Typically 5+ years of progressive analytics or data science experience, with prior exposure to retail or luxury fashion and a minimum of 2 years in a people-management role or leading cross-functional analytics workstreams.

Education

Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics or a related quantitative discipline; Master’s degree or equivalent advanced qualification preferred.

Culture

The workplace culture privileges craftsmanship, discretion and excellence, blending heritage and innovation. Teams operate in an international, client-focused environment where cross-disciplinary collaboration and high commercial standards drive decision-making.